llm-engineering

What problem does it solve?

This Skill provides the foundational knowledge and best practices for building robust, reliable, and efficient AI systems that leverage Large Language Models (LLMs), preventing common pitfalls like hallucinations and cost overruns.

Core Features & Use Cases

• LLM Architecture Patterns: Understand when to use simple prompts, RAG, fine-tuning, or agent loops.
• RAG Pipeline Design: Learn optimal chunking, embedding, and retrieval strategies.
• Prompt Engineering: Master message structuring and few-shot examples for predictable outputs.
• Evaluation & LLMOps: Implement strategies for measuring performance and managing production concerns like cost and reliability.
• Use Case: When developing a new AI-powered customer support chatbot that needs to answer questions based on your company's documentation, this Skill guides you through designing an effective RAG pipeline and prompts.

Quick Start

Use the llm-engineering skill to design a RAG pipeline for a new AI feature.